Generation and Characterization of a Library of Novel Biologically Active Functional Surfactants (Surfmers) Using Combined High-Throughput Methods
Author(s) -
Valentina Cuzzucoli Crucitti,
Leonardo Contreas,
Vincenzo Taresco,
Shaun C. Howard,
Adam A. Dundas,
Marion J. Limo,
Takasi Nisisako,
Philip M. Williams,
Paul Williams,
Morgan R. Alexander,
Ricky Wildman,
Benjamin W. Muir,
Derek J. Irvine
Publication year - 2021
Publication title -
acs applied materials and interfaces
Language(s) - English
Resource type - Journals
eISSN - 1944-8252
pISSN - 1944-8244
DOI - 10.1021/acsami.1c08662
Subject(s) - materials science , microfluidics , characterization (materials science) , nanotechnology , high throughput screening , throughput , pulmonary surfactant , combinatorial chemistry , computer science , chemical engineering , chemistry , telecommunications , biochemistry , engineering , wireless
We report the first successful combination of three distinct high-throughput techniques to deliver the accelerated design, synthesis, and property screening of a library of novel, bio-instructive, polymeric, comb-graft surfactants. These three-dimensional, surface-active materials were successfully used to control the surface properties of particles by forming a unimolecular deep layer on the surface of the particles via microfluidic processing. This strategy deliberately utilizes the surfactant to both create the stable particles and deliver a desired cell-instructive behavior. Therefore, these specifically designed, highly functional surfactants are critical to promoting a desired cell response. This library contained surfactants constructed from 20 molecularly distinct (meth)acrylic monomers, which had been pre-identified by HT screening to exhibit specific, varied, and desirable bacterial biofilm inhibitory responses. The surfactant's self-assembly properties in water were assessed by developing a novel, fully automated, HT method to determine the critical aggregation concentration. These values were used as the input data to a computational-based evaluation of the key molecular descriptors that dictated aggregation behavior. Thus, this combination of HT techniques facilitated the rapid design, generation, and evaluation of further novel, highly functional, cell-instructive surfaces by application of designed surfactants possessing complex molecular architectures.
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